Interruptions in a level one trauma center: a case study.

Juliana Brixey; Zhihua Tang; David J Robinson; Craig Johnson; Todd R Johnson; James P Turley; Vimla L Patel; Jiajie Zhang

Study

Interruptions in a level one trauma center: a case study.

July 4, 2007

Brixey J, Tang Z, Robinson DJ, et al. Int J Med Inform. 2008;77(4):235-41.

View more articles from the same authors.

The investigators shadowed emergency department nurses and physicians and identified the types of interruptions that occurred and what factors contributed to them.

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See More About The Topic

Emergency Departments

Physicians

Nurses

Information Professionals

Emergency Medicine

Interruptions in a level one trauma center: a case study.

There is an app for that: mobile technology improves complication reporting and resident perception of their role in patient safety

Pharmacist-led mobile health intervention and transplant medication safety: a randomized controlled clinical trial.

Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

Catching those who fall through the cracks: integrating a follow-up process for emergency department patients with incidental radiologic findings.

The University of Michigan Emergency Critical Care Center (EC3) Provides Timely Intensive Care to Critically Ill Patients in the Emergency Department

Algorithm-Based Decision Support System Guides Trauma Staff During Initial Treatment, Leading to Fewer Medical Errors

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Interruptions in a level one trauma center: a case study.

There is an app for that: mobile technology improves complication reporting and resident perception of their role in patient safety

Pharmacist-led mobile health intervention and transplant medication safety: a randomized controlled clinical trial.

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Catching those who fall through the cracks: integrating a follow-up process for emergency department patients with incidental radiologic findings.

The University of Michigan Emergency Critical Care Center (EC3) Provides Timely Intensive Care to Critically Ill Patients in the Emergency Department

Algorithm-Based Decision Support System Guides Trauma Staff During Initial Treatment, Leading to Fewer Medical Errors

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